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Filters: partyWithName: Wetland and Aquatic Research Center (X) > partyWithName: LCC Network Data Steward (X)

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The RESTORE Act (33 U.S. Code § 1321) directs 80% of Clean Water Act penalties from the Deepwater Horizon oil spill (likely to be in the billions) to Gulf of Mexico restoration. Gulf partners profess a common goal of “restoring and protecting the natural resources…and economy of the Gulf Coast region”(Gulf Coast Ecosystem Restoration Council 2013:2), yet specific and explicit objectives that quantify what it means to actually achieve this goal remain undefined. Despite the presence of numerous conservation partnerships along the Gulf of Mexico, there is concern that this unprecedented opportunity will lack a coordinated response (NOAA RESTORE Act Science Program 2013). The success of the RESTORE Act will hinge...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2015, 2016, 2017, 2018, AL-01, All tags...
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The Gulf Coast Prairies LCC has initiated efforts to improve biological planning and landscape conservation design with a focus on implementing State Wildlife Plans (SWAPs) for the benefit of focal species and pollinators. To facilitate landscape conservation planning, the GCP LCC has supported land cover data projects as well as refining a platform for grassland planning, inventory and monitoring (G-MIT). These data are shared nationally through ScienceBase and the GCP Conservation Planning Atlas and used to inform their Grassland Decision Support Tool. While this work has been limited to parts of Texas and Oklahoma there is great interest and need to create high resolution, seamless and consistent land cover data...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2017, Data Acquisition and Development, Datasets/Database, EARTH SCIENCE, EARTH SCIENCE, All tags...
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The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 National Aerial Imagery Program (NAIP) dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LandUse/LandCover (LULC) categories. This process involved stitching together more reliable sources for specific categories to...


    map background search result map search result map Establishing Explicit Biological Objectives to Guide Strategic Habitat Conservation for the Gulf Coast High resolution landcover for the Western Gulf Coastal Plain of Louisiana and Texas Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana High resolution landcover for the Western Gulf Coastal Plain of Louisiana and Texas Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana Establishing Explicit Biological Objectives to Guide Strategic Habitat Conservation for the Gulf Coast